Abstract

Objective

To conduct advanced psychometric analyses on the Duke Health Profile, a popular measure of health-related quality of life.

Design

Online survey. Data (N = 1233, 34.3% transgender) were from community and college participants. Dimensionality was assessed for the first time using exploratory factor analysis (EFA) with part of the sample, followed by single- and multi-group confirmatory factor analyses (CFA) with the balance of the sample.

Results

EFA resulted in a 14-item three factor structure: mental, physical and social health. CFA estimated four models (common factors, bifactor, hierarchical, unidimensional), none demonstrated adequate fit. From another EFA specifying one factor, the 6-item Duke Health Profile-Brief Form was developed based on updated guidelines for shortening composite measurement scales, which was assessed using CFA, finding good fit to the data. Measurement invariance by gender was assessed across the diverse gender spectrum, finding evidence for configural, metric, and partial scalar invariance.

Conclusions

There is insufficient evidence to use the general, mental, social and physical health scores of the DUKE Health Profile. However, there is evidence supporting the use of the unidimensional DUKE-BF, which is largely invariant between cisgender men and women, transgender men and women, and transgender men and non-binary participants.

中文翻译：

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维度、方差组成和杜克健康档案简表的发展，及其在五个性别​​认同组中的测量不变性

摘要

客观的

对杜克健康档案进行高级心理测量分析，这是一种与健康相关的生活质量的流行衡量标准。

设计

在线调查。数据（N  = 1233，34.3% 的跨性别者）来自社区和大学参与者。首次使用探索性因子分析 (EFA) 对部分样本进行维度评估，然后对样本平衡进行单组和多组验证性因子分析 (CFA)。

结果

全民教育产生了一个 14 项的三因素结构：心理、身体和社会健康。CFA 估计了四个模型（公共因子、双因子、分层、一维），没有一个模型表现出足够的拟合度。从另一个 EFA 指定一个因素，6 项杜克健康概况 - 简表是根据更新的缩短复合测量量表的指南开发的，该指南使用 CFA 进行评估，发现与数据非常吻合。在不同的性别范围内评估了性别的测量不变性，找到了配置、度量和部分标量不变性的证据。

结论

没有足够的证据使用杜克健康档案的一般、心理、社会和身体健康评分。然而，有证据支持使用一维 DUKE-BF，它在顺性别男性和女性、跨性别男性和女性、跨性别男性和非二元参与者之间基本上是不变的。